Sleep tracking
Can a Phone Track Your Sleep Stages? What It Can and Can't Measure
By the Somnia team · · 5 min read
Short answer: A phone can estimate when you slept and how restless your night was, but it cannot measure sleep stages. Stages are defined by brain activity recorded with EEG in a sleep lab; watches and rings estimate them from heart rate and movement, with moderate accuracy. That is why Somnia only shows deep, light and REM sleep when a watch or ring has recorded them.
Many sleep apps draw a colorful chart of deep, light and REM sleep from a phone lying on the nightstand. It looks scientific. But it is worth knowing what the phone can actually sense, because a confident chart built on weak data can do more harm than good.
How are sleep stages actually measured?
The reference method is polysomnography, the overnight test done in a sleep lab. Sensors on your scalp record brain waves (EEG), sensors near your eyes record eye movements (EOG), and a sensor on your chin records muscle tone (EMG). Breathing, heart rhythm, oxygen and leg movements are usually recorded too.
A trained technologist then scores the night in 30-second chunks, following the rules in the American Academy of Sleep Medicine scoring manual. Each chunk is labelled wake, N1, N2, N3 (deep or slow-wave sleep) or REM. The labels depend on specific brain-wave patterns, such as the slow, high waves of deep sleep, and on eye and muscle signals that mark REM.
In other words, a sleep stage is defined by what the brain is doing. Anything that does not measure the brain is making an educated guess.
What can a phone measure on its own?
A phone has two sensors that are useful at night:
- The motion sensor (accelerometer). If the phone is on the mattress, it can pick up bigger movements such as turning over.
- The microphone. It can measure how loud the room is, which reflects movement, snoring, coughing and outside noise.
From these signals a phone can make reasonable estimates of when you went to sleep, when you woke up, and how calm or restless the night was. What it cannot do is tell whether your brain was in N2 or REM while you lay still. Lying quietly awake and lying quietly in light sleep can look almost identical to a motion sensor.
This is a known limit of movement-based measurement in general. Clinical actigraphy, which uses a validated wrist device, is accepted for estimating sleep and wake patterns over days and weeks, but even it tends to count quiet wakefulness as sleep. A phone on a mattress is a noisier version of the same idea, and it is not designed to separate stages.
How accurate are watches and rings?
Wearables are a real step up. They sit on your body all night and add heart-rate signals from an optical sensor (PPG), including heart-rate variability, to movement. Some also use skin temperature. Because heart rate and its variability shift between sleep stages, these devices can estimate stages much better than movement alone.
They are still estimates. A 2021 study in Sleep compared seven consumer sleep trackers with polysomnography and found that most did well at telling sleep from wake, with more variable results for individual stages. Reviews of wearable sleep technology reach a similar conclusion: useful for tracking patterns over time, not a replacement for a sleep study.
The American Academy of Sleep Medicine's position is that consumer sleep technology is not meant to diagnose or treat sleep disorders, though it can help start a useful conversation with a clinician.
Why doesn't Somnia show sleep stages from the phone?
Because it would mean inventing data. If a phone cannot measure stages, then drawing them anyway gives you numbers that look precise but may not reflect your night, and you could make decisions based on them.
Somnia takes a different route. Without a wearable, it shows what the phone can genuinely estimate: your sleep timing and duration, a nightly report and sleep score, and a calm versus restless timeline from optional sound sensing. Sound sensing only measures loudness, live on the phone; nothing is recorded or saved. If you wear a watch or ring that records sleep, Somnia reads its deep, light and REM stages through Health Connect, read-only, and the data stays on your phone.
So when Somnia shows a stage chart, it is your device's measurement. When it doesn't, it tells you so.
Can tracking your sleep too closely backfire?
It can. Sleep researchers coined the term "orthosomnia" for people who become so focused on perfecting their tracker data that the worry itself makes sleep worse. In the cases described, some people trusted the device over how they actually felt, or spent longer in bed trying to raise a number.
A few habits keep tracking helpful:
- Look at trends over weeks, not single nights.
- Treat stage percentages from any consumer device as rough estimates.
- Pay attention to how you feel during the day; it is a valid signal too.
- If a number worries you, talk to a clinician rather than chasing it.
What should you track instead of stages?
Some of the most useful sleep measures don't need stages at all. How long you sleep, what time you go to bed and wake, and how regular that timing is from day to day are all linked to health in large studies, and a phone can estimate them reasonably well. Total sleep time against the "7 or more hours" recommendation for adults, plus a steady wake time, will tell you more about your sleep than a REM percentage from a phone ever could.
If you want real stage data, a watch or ring that records sleep is the practical option outside a sleep lab. If you have symptoms such as loud snoring, gasping at night or heavy daytime sleepiness, a proper sleep study is the right tool.
Key takeaways
- Sleep stages are defined by brain activity measured with EEG during polysomnography.
- A phone can estimate sleep timing and restlessness from movement and sound, but not stages.
- Watches and rings estimate stages from heart rate and movement; they are useful but not lab-accurate.
- Somnia only shows deep, light and REM sleep when a wearable recorded them, read through Health Connect.
- Duration, timing and regularity are valuable measures that don't need stage data.
Sources
- American Academy of Sleep Medicine. The AASM Manual for the Scoring of Sleep and Associated Events (current version).
- Smith MT, et al. Use of actigraphy for the evaluation of sleep disorders and circadian rhythm sleep-wake disorders: an American Academy of Sleep Medicine clinical practice guideline. Journal of Clinical Sleep Medicine, 2018.
- Chinoy ED, et al. Performance of seven consumer sleep-tracking devices compared with polysomnography. Sleep, 2021.
- de Zambotti M, Cellini N, Goldstone A, Colrain IM, Baker FC. Wearable sleep technology in clinical and research settings. Medicine & Science in Sports & Exercise, 2019.
- Khosla S, et al. Consumer sleep technology: an American Academy of Sleep Medicine position statement. Journal of Clinical Sleep Medicine, 2018.
- Baron KG, Abbott S, Jao N, Manalo N, Mullen R. Orthosomnia: are some patients taking the quantified self too far? Journal of Clinical Sleep Medicine, 2017.
This article is for general information and is not medical advice. If you have ongoing sleep problems, talk with a qualified clinician.
